5 Metaflow Jobs

As part of our team, you will have the opportunity to work in a dynamic and inclusive environment that fosters diversity and collaboration to build extraordinary teams. With a strong focus on diversity, inclusion, and social responsibility, we are proud to be recognized as one of the world's best places to work. Our commitment to creating a supportive and empowering workplace has led us to be consistently ranked as a top employer by various reputable organizations. You will be working alongside our generalist consultants and the Advanced Analytics Group (AAG) at Bain, where we leverage data science, customer insights, statistics, machine learning, and data engineering to help clients solve complex problems across various industries. Our team members, with diverse educational backgrounds in computer science, engineering, AI, data science, and other quantitative disciplines, collaborate to deliver innovative solutions. As a part of the team, your responsibilities will include designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to ensure high-quality, scalable, and secure solutions. You will collaborate with cross-functional teams to implement analytics features that meet business requirements and user needs. Additionally, you will deploy and manage analytics applications in cloud environments, develop APIs and microservices, and implement security measures to protect sensitive data. Your role will also involve monitoring application performance, participating in code reviews, staying updated on emerging technologies, and collaborating with DevOps teams to automate deployment processes. Furthermore, you will work with business consulting staff to develop analytics solutions for our clients and support the analytics application engineering capabilities. To be successful in this role, you are required to have a Master's degree in Computer Science or related field, along with expertise in Python, cloud platforms, and server-side technologies. Experience with client-side and server-side technologies, DevOps, CI/CD, and workflow orchestration is essential. You should possess strong interpersonal and communication skills, curiosity, critical thinking, and a solid foundation in computer science fundamentals. If you are passionate about leveraging analytics to drive business solutions, enjoy working in a collaborative environment, and are committed to continuous learning and development, we encourage you to apply. Travel may be required as part of the role.,

The successful candidate will be instrumental in helping to build, test, and maintain the infrastructure and tools to allow for the speedy development and release of software and updates. You will also be responsible for pushing the limits of a wide breadth of the tools and approaches to AI/Machine Learning for advanced products and systems using video information and IoT systems. Your experience researching and developing new projects with a team will be crucial, as you apply your knowledge and communication abilities to discuss problem requirements and plan new ideas with the team and stakeholders. Your responsibilities will include building and setting up new development tools and infrastructure, designing, building, and maintaining efficient, reusable, and tested code in Python and other applicable languages and library tools. Understanding the needs of stakeholders and effectively conveying them to developers, working on ways to automate and improve development and release processes, and bringing your professional experience in working with video technologies will be part of your day-to-day tasks. You will deploy Machine Learning (ML) to large production environments, drive continuous learning in the AI and computer vision fields, test and examine code written by others, analyze results, ensure system safety and security against cybersecurity threats, and identify technical problems and develop software updates and fixes. Additionally, you will work closely with software developers and engineers to ensure that development follows established processes and works as intended, as well as plan out projects and be involved in project management decisions. To qualify for this role, you must have a minimum of 3 years of hands-on experience with AWS services and products (Batch, SageMaker, StepFunctions, CloudFormation/CDK), strong Python experience, and at least 3 years of experience with Machine Learning/AI or Computer Vision development/engineering. You should be able to provide technical leadership to developers for designing and securing solutions, have an understanding of Linux utilities and Bash, familiarity with containerization using Docker, and experience with data pipeline frameworks such as MetaFlow. Exposure to technologies/tools like Keras, Pandas, TensorFlow, PyTorch, Caffe, NumPy, and DVC/CML is preferred. Practical experience deploying Computer Vision/Machine Learning solutions at scale into production will be an advantage. At GlobalLogic, we prioritize a culture of caring, where we consistently put people first. You will experience an inclusive culture of acceptance and belonging, build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. We are committed to your continuous learning and development, offering numerous opportunities to try new things, sharpen your skills, and advance your career. With interesting and meaningful work on impactful projects, a high-trust organization, and a focus on balance and flexibility, GlobalLogic provides a supportive and enriching environment for your professional growth and personal well-being.,

You will be joining a renowned consulting firm that has consistently been recognized as one of the best places to work globally. As part of the Application Engineering team within the AI, Insights & Solutions group, you will collaborate with a diverse group of experts in analytics, engineering, product management, and design to address clients" most challenging problems. Your role will involve designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to deliver secure and scalable solutions. Working in a multidisciplinary environment, you will collaborate with cross-functional teams to define and implement analytics features that meet business requirements and user needs. Utilizing Kubernetes and containerization technologies, you will deploy and manage analytics applications in cloud environments to ensure optimal performance and availability. Your responsibilities will also include developing APIs and microservices, implementing security measures to protect sensitive data, and monitoring application performance to resolve issues promptly. As a Senior or Staff level professional with a Masters degree in Computer Science or related field, you are expected to have a minimum of 5 years of experience in application engineering. Proficiency in client-side and server-side technologies, cloud platforms, and programming languages such as Python is essential. Additionally, experience with DevOps, CI/CD practices, and version control tools like Git is required. Your role will involve staying updated on emerging technologies, collaborating with DevOps teams to automate deployment processes, and contributing to the development of high-quality, maintainable code. You will play a pivotal role in collaborating with business consulting teams to assess opportunities and develop analytics solutions for clients across various sectors. Strong interpersonal skills, curiosity, critical thinking, and a proactive mindset are key attributes for success in this role. Travel may be required up to 30% of the time, and a deep understanding of data architecture, database design, and agile development methodologies will be advantageous in meeting the job requirements.,

The successful candidate for this role will play a crucial part in the development, testing, and maintenance of infrastructure and tools enabling fast software development and releases. You will be involved in exploring various tools and techniques in AI/Machine Learning for advanced products and systems utilizing video information and IoT systems. Your responsibilities will include researching and developing new projects collaboratively with a team, effectively communicating requirements, planning new ideas with stakeholders, and applying your expertise in video technologies such as preprocessing, neural nets, and computer vision. Your day-to-day tasks will involve setting up new development tools and infrastructure, writing efficient and reusable code in Python and other relevant languages, understanding stakeholder needs, automating development processes, deploying Machine Learning solutions in production environments, ensuring system security against cyber threats, identifying and solving technical issues, and contributing to project management decisions. To excel in this role, you should have a minimum of 3 years of hands-on experience with AWS services, strong Python skills, at least 3 years of experience in Machine Learning/AI or Computer Vision development/engineering, and expertise in technologies like Docker, Linux utilities, and AWS services. Additionally, you should be familiar with data pipeline frameworks, have experience in deploying Computer Vision/Machine Learning solutions at scale, and possess knowledge of tools such as Keras, Pandas, TensorFlow, PyTorch, Caffe, NumPy, DVC/CML. At GlobalLogic, we prioritize a culture of caring, continuous learning, interesting and meaningful work, balance and flexibility, and being a high-trust organization. You'll have the opportunity to work with collaborative teammates, supportive managers, and compassionate leaders, grow personally and professionally, work on impactful projects, and achieve a healthy work-life balance. By joining GlobalLogic, you'll be part of a trusted digital engineering partner that collaborates with the world's leading companies to drive digital innovation and transform businesses. Join us at GlobalLogic and be a part of shaping the future through intelligent products, platforms, and services.,

You will be joining a renowned consulting firm known for being consistently ranked as one of the world's best places to work. The company has maintained a top position on Glassdoor's Best Places to Work list since 2009, emphasizing the importance of extraordinary teams in their business strategy. By intentionally bringing together diverse backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment, they ensure that every individual can thrive both professionally and personally. As part of the Application Engineering experts team within the AI, Insights & Solutions division, you will collaborate with a multidisciplinary group of professionals including analytics, engineering, product management, and design experts. Your role will involve leveraging deep technical expertise along with business acumen to assist clients in addressing their most transformative challenges. Working in integrated teams, you will develop data-driven strategies and innovative solutions to drive competitive advantage for clients by harnessing the power of data and artificial intelligence. Your responsibilities will include designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to deliver high-quality, scalable, and secure solutions. You will collaborate with cross-functional teams to define and implement analytics features, utilize Kubernetes and containerization technologies for deployment, develop APIs and microservices, ensure robust security measures, monitor application performance, contribute to coding standards, stay updated on emerging technologies, automate deployment processes, and collaborate closely with clients to assess opportunities and develop analytics solutions. To qualify for this position, you are required to have a Master's degree in Computer Science, Engineering, or a related technical field, along with at least 6 years of experience at a Senior or Staff level. Proficiency in client-side and server-side technologies, cloud platforms, Python, Git, DevOps, CI/CD, and various other technical skills is necessary. Additionally, strong interpersonal and communication skills, curiosity, proactivity, critical thinking, and a solid foundation in computer science fundamentals are essential for this role. This role also requires a willingness to travel up to 30% of the time. If you are looking for an opportunity to work in a collaborative and supportive environment, continuously learn and grow, and contribute to developing cutting-edge analytics solutions for clients across different sectors, this position may be the perfect fit for you.,